Indirect aggression in Indian conversations on social media platform X is most common during major social, financial, sporting and political events, business school researchers have found after they used machine learning models to examine patterns of aggressive communication, analysing more than 1.31 lakh posts.
The study, titled “Indian Aggression Detection through Multiple ML Models from Twitter Data”, was conducted by researchers at Goa Institute of Management (GIM) and Goa Business School. The findings have been published in renowned journal “Advances in Consumer Research”.
The study explored whether machine learning could help to identify different forms of aggression in Indian X posts and how aggressive behaviour varied across emotionally and politically charged events.
The researchers classified the posts into three categories — Overtly Aggressive (OAG), Covertly Aggressive (CAG) and Non-Aggressive (NAG).
“The findings indicate that OAG responses among Indians remained …
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